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Itaicaspi/episode reset refactoring (#105)

Browse Source 
* reordering of the episode reset operation and allowing to store episodes only when they are terminated

* reordering of the episode reset operation and allowing to store episodes only when they are terminated

* revert tensorflow-gpu to 1.9.0 + bug fix in should_train()

* tests readme file and refactoring of policy optimization agent train function

* Update README.md

* Update README.md

* additional policy optimization train function simplifications

* Updated the traces after the reordering of the environment reset

* docker and jenkins files

* updated the traces to the ones from within the docker container

* updated traces and added control suite to the docker

* updated jenkins file with the intel proxy + updated doom basic a3c test params

* updated line breaks in jenkins file

* added a missing line break in jenkins file

* refining trace tests ignored presets + adding a configurable beta entropy value

* switch the order of trace and golden tests in jenkins + fix golden tests processes not killed issue

* updated benchmarks for dueling ddqn breakout and pong

* allowing dynamic updates to the loss weights + bug fix in episode.update_returns

* remove docker and jenkins file
This commit is contained in:
Itai Caspi
2018-09-04 15:07:54 +03:00
committed by GitHub
parent 7086492127
commit 72a1d9d426
92 changed files with 9803 additions and 9740 deletions
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47
rl_coach/traces/Atari_Dueling_DDQN_space_invaders/trace.csv
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@@ -3,29 +3,24 @@ Episode #,Training Iter,In Heatup,ER #Transitions,ER #Episodes,Episode Length,To
2,0.0,1.0,573.0,573.0,87.0,573.0,1.0,,,0.0,,,,,,,,,,,,,,,,,,,
3,0.0,1.0,722.0,722.0,149.0,722.0,1.0,,,0.0,,,,,,,,,,,,,,,,,,,
4,0.0,1.0,1057.0,1057.0,335.0,1057.0,1.0,,,0.0,,,,,,,,,,,,,,,,,,,
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1 Episode # Training Iter In Heatup ER #Transitions ER #Episodes Episode Length Total steps Epsilon Shaped Training Reward Training Reward Update Target Network Evaluation Reward Shaped Evaluation Reward Success Rate Loss/Mean Loss/Stdev Loss/Max Loss/Min Learning Rate/Mean Learning Rate/Stdev Learning Rate/Max Learning Rate/Min Grads (unclipped)/Mean Grads (unclipped)/Stdev Grads (unclipped)/Max Grads (unclipped)/Min Q/Mean Q/Stdev Q/Max Q/Min
3 2 0.0 1.0 573.0 573.0 87.0 573.0 1.0 0.0
4 3 0.0 1.0 722.0 722.0 149.0 722.0 1.0 0.0
5 4 0.0 1.0 1057.0 1057.0 335.0 1057.0 1.0 0.0
6 5 51.0 0.0 1260.0 1260.0 203.0 1260.0 0.9997990300000044 3.0 5.0 30.0 55.0 0.0 0.00940180963759 0.011159177685519406 0.013470017241472877 0.014670889632016437 0.049212761223316186 0.05586982890963554 7.353317050728947e-05 0.00014776474563404918 0.00010000000000000002 1.3552527156068802e-20 0.0001 0.0001 0.05542052 0.06980593 0.04357862 0.04550845 0.2064145 0.23672238 0.0068079852 0.012701003
7 6 116.0 70.0 0.0 1519.0 1335.0 1519.0 1335.0 259.0 75.0 1519.0 1335.0 0.99954262000001 0.999724780000006 3.0 2.0 30.0 15.0 0.0 0.00929965893737972 0.011363721369937258 0.0103402052036756 0.01113743869358625 0.043653115630149834 0.02980226650834084 0.00013044019578956068 0.00037189509021118283 0.00010000000000000002 0.0001 1.3552527156068802e-20 0.0 0.0001 0.0001 0.05437565 0.061391924 0.029937742000000003 0.02929353 0.16640274 0.110355645 0.014032418 0.014809295
8 7 154.0 91.0 0.0 1673.0 1422.0 1673.0 1422.0 154.0 87.0 1673.0 1422.0 0.9993901600000132 0.9996386500000078 0.0 1.0 0.0 15.0 0.0 0.006740736214085605 0.011624419426966813 0.0077994245669990815 0.013655546794886331 0.02814924158155918 0.04332234337925911 0.00014988234033808112 0.0002809247234836221 9.999999999999998e-05 0.0001 2.7105054312137605e-20 1.3552527156068802e-20 0.0001 0.0001 0.04434246 0.065822564 0.024655161000000002 0.03866646 0.10726423 0.16192491 0.009831297 0.021505926
9 8 188.0 159.0 0.0 1809.0 1693.0 1809.0 1693.0 136.0 271.0 1809.0 1693.0 0.9992555200000162 0.9993703600000136 0.0 5.0 0.0 55.0 0.0 0.005733611607437897 0.008774163406046885 0.009189231003716951 0.01056874345135505 0.030967287719249725 0.042830634862184525 0.00016953394515439868 0.0001717623672448099 0.0001 0.00010000000000000003 1.3552527156068802e-20 2.7105054312137605e-20 0.0001 0.0001 0.043634683 0.05377827 0.030018644 0.032895934 0.13496692 0.16196515 0.013218384 0.00941183
10 9 218.0 201.0 0.0 1927.0 1861.0 1927.0 1861.0 118.0 168.0 1927.0 1861.0 0.9991387000000188 0.9992040400000172 4.0 3.0 50.0 0.0 0.005415936872547415 0.005785983745660079 0.008556929403770156 0.00916921106544553 0.02886312827467918 0.04197276383638382 9.317453077528626e-05 0.00021147351071704182 9.999999999999998e-05 0.00010000000000000002 2.7105054312137605e-20 1.3552527156068802e-20 0.0001 0.0001 0.034520287000000004 0.04083436 0.032297213 0.028236978 0.1215473 0.14960715 0.005115339 0.012452139499999999
11 10 239.0 279.0 0.0 2013.0 2172.0 2013.0 2172.0 86.0 311.0 2013.0 2172.0 0.9990535600000204 0.998896150000024 1.0 4.0 25.0 65.0 0.0 0.0070035762688522 0.009643888652461987 0.010885615572279907 0.012217253908083524 0.04120698943734169 0.056894369423389435 0.00020946483709849417 0.00016667474119458348 0.0001 0.00010000000000000003 1.3552527156068802e-20 4.0657581468206416e-20 0.0001 0.0001 0.04824697 0.0560394 0.030201659 0.039682023 0.14718142 0.1913731 0.011774496 0.008496345
12 11 285.0 440.0 0.0 2197.0 2815.0 2197.0 2815.0 184.0 643.0 2197.0 2815.0 0.9988714000000244 0.9982595800000378 5.0 10.0 75.0 335.0 0.0 0.004890300252357164 0.00861433394022231 0.008976665125631113 0.010348496102126023 0.04363592341542244 0.04432229697704315 6.938744627404958e-05 0.0001522430102340877 0.00010000000000000003 0.00010000000000000002 2.7105054312137605e-20 1.3552527156068802e-20 0.0001 0.0001 0.036006905 0.05220816 0.034595415 0.03156275 0.17641488 0.16941099999999998 0.006081335699999999 0.009055335999999999 0.023975812000000003 0.012025122 0.040999293 0.0039341394
13 12 309.0 458.0 0.0 2293.0 2888.0 2293.0 2888.0 96.0 73.0 2293.0 2888.0 0.9987763600000266 0.9981873100000394 2.0 15.0 45.0 0.0 0.005085365288929704 0.009530787179957971 0.007954596864360095 0.010701133845478595 0.02850999496877193 0.03999783843755722 0.00011609210923779756 0.00031216014758683736 0.0001 0.0 0.0001 0.0001 0.03620706 0.062311728 0.029377367 0.026771976 0.12884642 0.14921491 0.008971761 0.02184285
14 13 353.0 478.0 0.0 2467.0 2969.0 2467.0 2969.0 174.0 81.0 2467.0 2969.0 0.9986041000000304 0.9981071200000412 2.0 0.0 35.0 0.0 0.0 0.004483388394212604 0.006778308925277089 0.00714934797623927 0.00818221383451154 0.02857648953795433 0.02816874161362648 0.00013717712135985494 0.0002485926379449665 0.00010000000000000003 0.0001 2.7105054312137605e-20 0.0 0.0001 0.0001 0.036266383 0.044908725 0.027188765 0.026523566000000002 0.13212168 0.117372274 0.007937131 0.016029207 -0.012888752 0.011372567 -0.0004688017 -0.031455092000000004
15 14 400.0 532.0 0.0 2658.0 3183.0 2658.0 3183.0 191.0 214.0 2658.0 3183.0 0.9984150100000344 0.9978952600000456 1.0 4.0 25.0 50.0 0.0 0.009708599779418016 0.0069169835669863795 0.010096475736274924 0.009669208516406907 0.02948019653558731 0.030461043119430545 0.0001457566395401955 0.0002085747983073816 0.00010000000000000003 4.0657581468206416e-20 2.7105054312137605e-20 0.0001 0.0001 0.057232287 0.047045134 0.02955401 0.03206875 0.11976757 0.123922676 0.009687495 0.010909475 0.020525673 0.022543962999999997 0.057359524 -0.00018235296000000003
16 15 420.0 551.0 0.0 2737.0 3262.0 2737.0 3262.0 79.0 2737.0 3262.0 0.998336800000036 0.9978170500000474 3.0 2.0 30.0 15.0 0.0 0.00882622374338098 0.008465479291963243 0.0091420211364319 0.01222064269286522 0.0285559706389904 0.04136095941066742 0.00018760087550617757 0.00024427170865237713 0.0001 0.0 0.0001 0.0001 0.057375748 0.051463115999999996 0.026795514 0.036649507000000005 0.13112505 0.14754368 0.0137673 0.013367546000000001
17 16 441.0 626.0 0.0 2822.0 3560.0 2822.0 3560.0 85.0 298.0 2822.0 3560.0 0.998252650000038 0.9975220300000538 1.0 6.0 20.0 145.0 0.0 0.011031260833122012 0.00915405042571758 0.009569946432597565 0.00990793648084188 0.03008048608899116 0.038579311221838 0.00048281182534992695 0.0002719838812481612 0.0001 0.00010000000000000003 1.3552527156068802e-20 2.7105054312137605e-20 0.0001 0.0001 0.05970306 0.055197 0.02625892 0.029597567 0.12840712 0.14903925 0.033901475 0.010181868 -0.011365135 0.013168923 0.013799908 -0.025668386
18 17 497.0 916.0 0.0 3045.0 4719.0 3045.0 4719.0 223.0 1159.0 3045.0 4719.0 0.9980318800000428 0.9963746200000788 2.0 22.0 30.0 340.0 0.0 0.008167038722084336 0.00762058505652962 0.010402760976485893 0.009529140287309196 0.04138598218560219 0.04469184204936028 0.00016764989413786682 0.00013019611651543528 0.00010000000000000002 1.3552527156068802e-20 0.0001 0.0001 0.05264644 0.049977854 0.031224351 0.031034742999999997 0.15228507 0.15861663 0.009589122 0.008030025 0.031049637 0.016384887 0.017366769 0.018671772 0.054128982 0.056820348 0.008472132 -0.0064531965
19 18 519.0 943.0 0.0 3133.0 4830.0 3133.0 4830.0 88.0 111.0 3133.0 4830.0 0.9979447600000446 0.9962647300000812 1.0 3.0 10.0 45.0 0.0 0.007431875651739327 0.009809370868390907 0.008212131171736225 0.011517441918305206 0.02906158193945885 0.04567621275782585 0.00022462599736172706 0.0002561989240348339 0.0001 1.3552527156068802e-20 0.0001 0.0001 0.047143605 0.058472212 0.022326201 0.027904749 0.102964535 0.13957499 0.011409067 0.021250565
20 19 586.0 1006.0 0.0 3399.0 5081.0 3399.0 5081.0 266.0 251.0 3399.0 5081.0 0.9976814200000504 0.9960162400000864 1.0 0.0 15.0 0.0 0.0 0.006048565374039211 0.011435095637646171 0.00959834709079883 0.011009362492248348 0.04419469088315964 0.04369494318962097 0.000143644108902663 0.0002374518953729421 0.00010000000000000003 2.7105054312137605e-20 0.0001 0.0001 0.04074958 0.06413252 0.03353222 0.03206017 0.17308132 0.17680877 0.007977235 0.015071165
21 20 644.0 1062.0 0.0 3631.0 5304.0 3631.0 5304.0 232.0 223.0 3631.0 5304.0 0.9974517400000552 0.9957954700000912 3.0 6.0 30.0 105.0 0.0 0.007784245730425906 0.008425145343997948 0.009337813281732395 0.010476737255273365 0.028873851522803307 0.04278689250349999 9.985487849917264e-05 0.0002318604965694249 0.00010000000000000002 1.3552527156068802e-20 0.0001 0.0001 0.04649539 0.05528172 0.027173713 0.033389688 0.10975073 0.16662869 0.009595879 0.013080816 0.027574325 0.02990371 0.011750318000000001 0.01963076 0.04569574 0.059646500000000005 0.007722944 0.005463021
22 21 691.0 1081.0 0.0 3822.0 5379.0 3822.0 5379.0 191.0 75.0 3822.0 5379.0 0.9972626500000594 0.9957212200000928 1.0 2.0 5.0 15.0 0.0 0.006470101633780398 0.007715215652225245 0.010489537703026445 0.010669677149893777 0.05461757257580757 0.03837666660547257 0.00014083684072829786 0.00035348522942513233 0.00010000000000000003 0.0001 4.0657581468206416e-20 0.0 0.0001 0.0001 0.0441633 0.055993587000000004 0.039446674 0.030775022000000003 0.23385541 0.13761143 0.009449824 0.023046900000000002 0.01200008 0.022514707999999998 0.05078985 -0.017729387
23 22 763.0 1125.0 0.0 4110.0 5556.0 4110.0 5556.0 288.0 177.0 4110.0 5556.0 0.9969775300000656 0.9955459900000968 5.0 2.0 100.0 35.0 0.0 0.0066310648020993955 0.007088124197418272 0.009575129646368427 0.007553918383053855 0.04328501597046852 0.02735380455851555 0.00016888145182747394 0.00016635317297186702 0.00010000000000000002 0.00010000000000000003 1.3552527156068802e-20 2.7105054312137605e-20 0.0001 0.0001 0.04513968 0.046250745999999995 0.031045547000000003 0.027780753 0.16462055 0.12917177 0.010064708 0.009924813000000001 0.04988414 0.011430293999999999 0.064003214 0.036855176
24 23 809.0 1169.0 0.0 4291.0 5733.0 4291.0 5733.0 181.0 177.0 4291.0 5733.0 0.9967983400000696 0.9953707600001004 2.0 3.0 15.0 30.0 0.0 0.006861102552489761 0.007776185804686975 0.010954410291041149 0.009135069977912141 0.05771709606051445 0.03013703227043152 0.00012457562843337655 0.0002250532270409167 0.00010000000000000003 2.7105054312137605e-20 0.0001 0.0001 0.04564552400000001 0.051641665 0.03979948 0.030256712999999998 0.23009126 0.13535246 0.0074085719999999996 0.012026708
25 24 832.0 1190.0 0.0 4384.0 5815.0 4384.0 5815.0 93.0 82.0 4384.0 5815.0 0.9967062700000716 0.9952895800001024 2.0 1.0 15.0 5.0 0.0 0.008675283397441608 0.011108649816984931 0.008623302078703028 0.010548835692936798 0.027513300999999046 0.042301006615161896 0.00015699448704253882 0.00035882263910025364 9.999999999999998e-05 0.0001 2.7105054312137605e-20 1.3552527156068802e-20 0.0001 0.0001 0.05430378 0.06612081 0.026372662 0.03200974 0.11436402 0.15909933 0.009731605 0.027230294
26 25 896.0 1212.0 0.0 4639.0 5904.0 4639.0 5904.0 255.0 89.0 4639.0 5904.0 0.996453820000077 0.9952014700001042 3.0 1.0 50.0 10.0 0.0 0.0054938030840503424 0.004195408909502227 0.007638551486072099 0.007376560022200305 0.02796961739659309 0.025709044188261032 8.068231545621529e-05 0.00019116624025627968 0.00010000000000000002 0.0001 1.3552527156068802e-20 0.0001 0.0001 0.037935376 0.03334951 0.02827963 0.028961857999999997 0.11181499 0.10913753 0.005339783000000001 0.008333857 0.004497289 0.018064981 0.040434074 -0.019658553999999998
26 947.0 0.0 4846.0 4846.0 207.0 4846.0 0.9962488900000814 1.0 25.0 0.0 0.0044717073599481495 0.007082276129211859 0.029280548915266987 7.399438618449493e-05 0.00010000000000000002 1.3552527156068802e-20 0.0001 0.0001 0.03497283 0.025866767000000002 0.09855921599999999 0.00447959
27 963.0 0.0 4909.0 4909.0 63.0 4909.0 0.9961865200000828 2.0 15.0 0.0 0.008858921806677245 0.01043667351261243 0.027657225728034973 0.00016564546967856586 0.0001 0.0 0.0001 0.0001 0.056215905 0.030125381 0.11781071 0.014718769
28 982.0 0.0 4985.0 4985.0 76.0 4985.0 0.9961112800000844 0.0 0.0 0.0 0.0062713482873636844 0.007616313665533986 0.027278902009129524 0.00024076526460703462 0.0001 0.0 0.0001 0.0001 0.043400805 0.02980698 0.13167736 0.012277668
29 1048.0 0.0 5247.0 5247.0 262.0 5247.0 0.99585190000009 3.0 30.0 0.0 0.004862750120523604 0.008166937115952044 0.043642010539770126 9.04020926100202e-05 0.00010000000000000003 2.7105054312137605e-20 0.0001 0.0001 0.036356255 0.030857606 0.17419964 0.0053508769999999995 0.007745307 0.011687581 0.0191111 -0.012445831999999999
30 1108.0 0.0 5487.0 5487.0 240.0 5487.0 0.9956143000000952 2.0 45.0 0.0 0.0061263717832237795 0.008292486975753062 0.030202906578779217 9.224841778632252e-05 0.00010000000000000003 2.7105054312137605e-20 0.0001 0.0001 0.040730584 0.029142 0.12726964 0.0064920974